Run
8735017

Run 8735017

Task 145853 (Supervised Classification) madelon Uploaded 29-12-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1519
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size945
mlr.classif.ranger(9)_sample.fraction0.714274735515937
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.6449
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6058
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2115
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11.0991
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4985
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
2600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6058
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6058
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6058
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.997
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4985
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9971
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1795.972
UserCPU time millis
7.686
UserCPU time millis testing
1.155
UserCPU time millis training
6.531